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Article
Open AccessIntegration of the Non-linear Time Series GARCH Model with Fuzzy Model Optimized with Water Cycle Algorithm for River Streamflow Forecasting
For managing water resources and operating reservoirs in dynamic contexts, accurate hydrological forecasting is essential. However, it is difficult to track complex hydrological time series with highly non-lin...
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Article
Optimal Exploitation of Water Resources by Using New Multi-Objective Reptile Search Algorithm (MORSA)
In dry months, there are acute water shortages as a result of reservoir water being released to improve reliability based on the full supply of needs in certain months. This study provides a method that stores...
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Article
Simulation of monthly river flow using SVR neural network improved with population-based optimization algorithms
Since the measurement of river discharge has always been one of the crucial challenges in the river management, the utilization of accurate tools to compute it becomes necessary. Numerical, analytical, artific...
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Article
Beluga Whale Optimization Algorithm for Estimating Nonlinear Muskingum Model in Flood Routing
Using hydraulic and hydrological routing approaches, the transient flow is examined. The Muskingum model (MM), a hydrological routing methodology, is a reasonably accurate and useful technique for the calculat...
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Article
Optimization of Integrated Operation of Surface and Groundwater Resources using Multi-Objective Grey Wolf Optimizer (MOGWO) Algorithm
The knowledge of surface and groundwater interactions within the region, as well as the computation of surface and subsurface elements impacting them, are necessary for principled planning for the sustainable ...
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Article
Open AccessPrediction of groundwater level using GMDH artificial neural network based on climate change scenarios
One of the main challenges regarding the prediction of groundwater resource changes is the climate change phenomenon and its impacts on quantitative variations of such resources. Groundwater resources are trea...
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Article
Prediction of groundwater level variations using deep learning methods and GMS numerical model
One of the key elements of the hydrogeological cycle and a variable used by many water resource operating models is the variation in groundwater level (GWL). One of the biggest obstacles to the drawdown analys...
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Article
A Hybrid Machine Learning Model for Modeling Nitrate Concentration in Water Sources
Nitrate is one of the most dangerous contaminants that can pollute water sources; as a result, it is always tried to use accurate methods to monitor its quantity. The goal of this study is to develop a hybrid ...
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Article
Open AccessEffects of climate change on groundwater level variations affected by uncertainty (case study: Razan aquifer)
In this research, the impact of the human factors and climate change on groundwater level fluctuations affected by uncertainty within 27-year upcoming period (2018–2045) in the Razan Plain is examined. To simu...
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Article
Open AccessModeling triangular, rectangular, and parabolic weirs using weighted robust extreme learning machine
In this study, dimensionless parameters influencing the coefficient of discharge (COD) are found and four different WRELM models are developed. After that, a dataset is created for verifying the WRELM models i...
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Article
Influence of Pre-Processing Algorithms on Surface Water TDS Estimation Using Artificial Intelligence Models: A Case Study of the Karoon River
One of the essential indicators of surface water quality is total dissolved solids (TDS) that is prominent for both short- and long-term water resources management. In this study, in order to resolve the non-s...
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Article
Multi-objective Optimization of water resources in real time based on integration of NSGA-II and support vector machines
One of the management strategies of water resources systems is the combination of simulation and optimization models to achieve the optimal policies of reservoir operation in the form of specific optimization....
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Article
Open AccessNovel reliable model by integrating the adaptive neuro-fuzzy inference systems with wavelet transform and firefly algorithms for rainfall forecasting in the north of Iran
Rainfall is perhaps the most important source of drinking and agriculture water for the inhabitants of different parts of the world, particularly in arid and semi-arid area like Iran. Hence, the simulation of ...
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Article
Open AccessPrediction of groundwater level fluctuations using artificial intelligence-based models and GMS
Groundwater level fluctuations are one of the main components of the hydrogeological cycle and one of the required variables for many water resources operation models. The numerical models can estimate groundw...
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Article
Open AccessA new technique for flood routing by nonlinear Muskingum model and artificial gorilla troops algorithm
Considering cost and time, the Muskingum method is the most efficient flood routing technique. The existing Muskingum models are only different in the storage equation and their efficiency depends on the model...
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Article
A Reliable Non-tuned Machine Learning Approach for Local Scouring Simulation Around Twin Bridge Piers
In the current research, the “Extreme Learning Machine (ELM)” model as an optimized machine learning approach was developed for first time in order to estimate the scour forming around twin bridge piers. Basic...
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Article
Simulation of Discharge Coefficient of Triangular Lateral Orifices Using an Evolutionary Design of Generalized Structure Group Method of Data Handling
As a flow diversion structure, lateral orifices are broadly used in coagulation and flocculation units of water and wastewater plants and also in main channels of irrigation networks and drainage systems for c...
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Article
Open AccessOutlier robust extreme learning machine to simulate discharge coefficient of side slots
As the first time, this paper attempts to recreate the discharge coefficient (DC) of side slots by another artificial intelligence procedure named "Outlier Robust Extreme Learning Machine (ORELM)". Accordingly...
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Article
Open AccessStudy of water resources parameters using artificial intelligence techniques and learning algorithms: a survey
Qualitative analysis of water resources is one of the most widely used topics in water resources research today. Researchers use various analysis methods of water parameters to achieve the desired goals in thi...
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Article
Open AccessEvaluation of discharge coefficient of triangular side orifices by using regularized extreme learning machine
The present paper attempts to reproduce the discharge coefficient (DC) of triangular side orifices by a new training approach entitled “Regularized Extreme Learning Machine (RELM).” To this end, all parameters...
